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ICDE
2006
IEEE
194views Database» more  ICDE 2006»
16 years 6 months ago
The Gauss-Tree: Efficient Object Identification in Databases of Probabilistic Feature Vectors
In applications of biometric databases the typical task is to identify individuals according to features which are not exactly known. Reasons for this inexactness are varying meas...
Alexey Pryakhin, Christian Böhm, Matthias Sch...
ICDE
2006
IEEE
130views Database» more  ICDE 2006»
16 years 6 months ago
Warehousing and Analyzing Massive RFID Data Sets
Radio Frequency Identification (RFID) applications are set to play an essential role in object tracking and supply chain management systems. In the near future, it is expected tha...
Hector Gonzalez, Jiawei Han, Xiaolei Li, Diego Kla...
ICDE
2006
IEEE
163views Database» more  ICDE 2006»
16 years 6 months ago
A Sampling-Based Approach to Optimizing Top-k Queries in Sensor Networks
Wireless sensor networks generate a vast amount of data. This data, however, must be sparingly extracted to conserve energy, usually the most precious resource in battery-powered ...
Adam Silberstein, Carla Schlatter Ellis, Jun Yang ...
ICDE
2005
IEEE
107views Database» more  ICDE 2005»
16 years 6 months ago
Venn Sampling: A Novel Prediction Technique for Moving Objects
Given a region qR and a future timestamp qT, a "range aggregate" query estimates the number of objects expected to appear in qR at time qT. Currently the only methods fo...
Yufei Tao, Dimitris Papadias, Jian Zhai, Qing Li
ICDE
2003
IEEE
114views Database» more  ICDE 2003»
16 years 6 months ago
Designing a Super-Peer Network
A super-peer is a node in a peer-to-peer network that operates both as a server to a set of clients, and as an equal in a network of super-peers. Super-peer networks strike a bala...
Beverly Yang, Hector Garcia-Molina
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